A3: To find A3, multiply both sides by (z−1)2 and evaluate at z=1:
A3=(z−1)2F(z)z=1=z+1z3z=1=1+113=21
A2: To find A2, differentiate the equation and solve at z=1:
= \frac{(z+1)(2z) - z^2(1)}{(z+1)^2} \Big|_{z=1} = \frac{2(1+1) - 1^2}{(1+1)^2} = \frac{3}{4}$$
### Step 4: Final Expression for $$F(z)$$
Substituting $$A_1$$, $$A_2$$, and $$A_3$$ into the partial fraction expansion:
$$F(z) = \frac{1}{4(z+1)} + \frac{3}{4(z-1)} + \frac{1}{2(z-1)^2}$$
Thus, the expression for $$X(z)$$ in terms of partial fractions is complete.
### Step 5: Inverse z-Transform
Now we take the inverse z-transform of each term:
- $$\frac{1}{4(z+1)}$$ corresponds to $$\left( -\frac{1}{4}(-1)^n u(n) \right)$$
- $$\frac{3}{4(z-1)}$$ corresponds to $$\frac{3}{4} u(n)$$
- $$\frac{1}{2(z-1)^2}$$ corresponds to $$\frac{n}{2} u(n)$$
Thus, combining these terms gives the time-domain sequence $$x(n)$$:
$$x(n) = \left( -\frac{1}{4}(-1)^n + \frac{3}{4} + \frac{n}{2} \right) u(n)$$
Where $$u(n)$$ is the unit step function.
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Would you like further details on this process or a specific part of the explanation? Here are five related questions:
1. What is the significance of expanding in terms of positive powers of $$z$$ for causal signals?
2. How does partial fraction decomposition help in finding the inverse z-transform?
3. What is the unit step function $$u(n)$$ and why is it used here?
4. How can you check if a given $$X(z)$$ represents a causal signal?
5. Can this method be generalized to higher-order poles in the z-transform?
**Tip:** The inverse z-transform is essential to recover the time-domain signal from its z-transform representation, especially in discrete-time signal processing.